Pandas 用最后一个有效值填充缺少的数据帧（timeseries）数据

让我们保存我有两个timeseries股票数据的数据帧

如何用最后一个有效值填写NaN

所以

应该是：

2014-01-23 07:00:00.698708  428.75      NaN
2014-01-23 07:00:19.783769  428.75      NaN
2014-01-23 07:00:22.089900  429.00      NaN
2014-01-23 07:00:22.089900  429.00      NaN
2014-01-23 07:00:22.096339  429.00      NaN
2014-01-23 07:00:15.991013     429.00  1283.75
2014-01-23 07:00:25.280246     429.00  1284.00
2014-01-23 07:00:31.746926     429.00  1284.00
2014-01-23 07:00:31.747813     429.00  1284.00
2014-01-23 07:00:50.055061     429.00  1284.00
2014-01-23 07:00:56.467059     429.00  1284.25

---

谢谢

您可以简单地使用

df.ffill（）

您可以简单地使用

df.ffill（）

2014-01-23 07:00:00.698708  428.75      NaN
2014-01-23 07:00:19.783769  428.75      NaN
2014-01-23 07:00:22.089900  429.00      NaN
2014-01-23 07:00:22.089900  429.00      NaN
2014-01-23 07:00:22.096339  429.00      NaN
2014-01-23 07:00:15.991013     429.00  1283.75
2014-01-23 07:00:25.280246     429.00  1284.00
2014-01-23 07:00:31.746926     429.00  1284.00
2014-01-23 07:00:31.747813     429.00  1284.00
2014-01-23 07:00:50.055061     429.00  1284.00
2014-01-23 07:00:56.467059     429.00  1284.25